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Advances in intensive chemotherapy and supportive care have improved survival in newly diagnosed acute myeloid leukemia (AML)
The researchers analyzed survival as a treatment endpoint in 3,728 patients with newly diagnosed AML who received intensive chemotherapy from 1980 to 2021
In the training cohort, multivariate analysis identified 12 consistent poor prognostic variables independently associated with poorer survival: older age, treatment-related myeloid neoplasms, poorer performance status, cardiac comorbidities, leukocytosis, anemia , thrombocytopenia, elevated creatinine and lactate dehydrogenase, cytogenetic abnormalities, and infection at diagnosis , except unexplained fever
Older age, treatment-related bone marrow neoplasms, poor performance status, cardiac comorbidities, leukocytosis, anemia, thrombocytopenia, elevated creatinine and lactate dehydrogenase, cytogenetic abnormalities, and infection at diagnosis , but Unexplained fever is excluded
Figure 1: Survival by risk group in training (1A) and validation (1B)
Figure 1: Survival by risk group in training (1A) and validation (1B)They divided patients into four prognostic groups, good (7%), moderate (43%), poor (39%), and very poor (11%), with estimated 5-year survival rates of 69%, 36%, and 13%, respectively and 3% (p<0.
Table: Suggested Survival Prognostic Risk Classification: 3A) Score, 3B) Risk Classification and Survival
Table: Suggested Survival Prognostic Risk Classification: 3A) Score, 3B) Risk Classification and SurvivalIn the subset of patients with molecular mutational profiles, mutational profiles NPM1 (favorable), PTPN11 , and TP53 (all unfavorable) mutations were added as molecular prognostic factors after accounting for the influence of previously identified factors
NPM1 PTPN11 TP53
This is the largest analysis of prognostic factors for survival in AML with intensive high-dose cytarabine-based chemotherapy to date
This is the largest prognostic factor analysis to date of high-dose cytarabine-based intensive chemotherapy for survival in AML
Original source:
Original source:Sasaki, K.
Sasaki, K.
, Ravandi, F.
, Kadia, T.
, DiNardo, C.
, Borthakur, G.
, Short, N.
, Jain, N.
, Daver, N.
, Jabbour, E.
, Garcia-Manero, G .
, Khoury, J.
, Konoplev, S.
, Loghavi, S.
, Patel, K.
, Bravo, GM, Masarova, L.
, Konopleva, M.
and Kantarjian, H.
(2022), Prediction of Survival with Intensive Chemotherapy in Acute Myeloid Leukemia.
Am J Hematol.
Accepted Author Manuscript.
https://doi.
org/10.
1002/ajh.
26557.
Sasaki, K.
, Ravandi, F.
, Kadia, T.
, DiNardo, C.
, Borthakur, G .
, Short, N.
, Jain, N.
, Daver, N.
, Jabbour, E.
, Garcia-Manero, G.
, Khoury, J.
, Konoplev, S.
, Loghavi, S.
, Patel, K.
, Bravo , GM, Masarova, L.
, Konopleva, M.
and Kantarjian, H.
(2022), Prediction of Survival with Intensive Chemotherapy in Acute Myeloid Leukemia.
Am J Hematol.
Accepted Author Manuscript.
https://doi.
org/10.
1002/ ajh.
26557.
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